{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "id": "nSRwb3Z-nqNA"
      },
      "outputs": [],
      "source": [
        "# Copyright 2024 Google LLC\n",
        "#\n",
        "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
        "# you may not use this file except in compliance with the License.\n",
        "# You may obtain a copy of the License at\n",
        "#\n",
        "#     https://www.apache.org/licenses/LICENSE-2.0\n",
        "#\n",
        "# Unless required by applicable law or agreed to in writing, software\n",
        "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
        "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
        "# See the License for the specific language governing permissions and\n",
        "# limitations under the License."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vKAhsMMunqNE"
      },
      "source": [
        "# Beyond Single Runs: Tendency Analysis of Non-Deterministic Eval Tasks\n",
        "\n",
        "\n",
        "\n",
        "<table align=\"left\">\n",
        "\n",
        "</table>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BuFb1aJ0CpNA"
      },
      "source": [
        "<table align=\"left\">\n",
        "  <td style=\"text-align: center\">\n",
        "    <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/applied-ai-engineering-samples/blob/main/genai-on-vertex-ai/vertex_evaluation_services/tendency-based-evaluation/Beyond_Single_Runs_Tendency_Analysis_of_Non_Deterministic_Eval_Tasks.ipynb\">\n",
        "      <img width=\"32px\" src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Google Colaboratory logo\"><br> Open in Colab\n",
        "    </a>\n",
        "  </td>\n",
        "  <td style=\"text-align: center\">\n",
        "    <a href=\"https://console.cloud.google.com/vertex-ai/colab/import/https:%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fapplied-ai-engineering-samples%2Fmain%2Fgenai-on-vertex-ai/vertex_evaluation_services/tendency-based-evaluation/Beyond_Single_Runs_Tendency_Analysis_of_Non_Deterministic_Eval_Tasks.ipynb\">\n",
        "      <img width=\"32px\" src=\"https://lh3.googleusercontent.com/JmcxdQi-qOpctIvWKgPtrzZdJJK-J3sWE1RsfjZNwshCFgE_9fULcNpuXYTilIR2hjwN\" alt=\"Google Cloud Colab Enterprise logo\"><br> Open in Colab Enterprise\n",
        "    </a>\n",
        "  </td>\n",
        "  <td style=\"text-align: center\">\n",
        "    <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/applied-ai-engineering-samples/main/genai-on-vertex-ai/vertex_evaluation_services/tendency-based-evaluation/Beyond_Single_Runs_Tendency_Analysis_of_Non_Deterministic_Eval_Tasks.ipynb\">\n",
        "      <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\"><br> Open in Vertex AI Workbench\n",
        "    </a>\n",
        "  </td>\n",
        "  <td style=\"text-align: center\">\n",
        "    <a href=\"https://github.com/GoogleCloudPlatform/applied-ai-engineering-samples/blob/main/genai-on-vertex-ai/vertex_evaluation_services/tendency-based-evaluation/Beyond_Single_Runs_Tendency_Analysis_of_Non_Deterministic_Eval_Tasks.ipynb\">\n",
        "      <img width=\"32px\" src=\"https://upload.wikimedia.org/wikipedia/commons/9/91/Octicons-mark-github.svg\" alt=\"GitHub logo\"><br> View on GitHub\n",
        "    </a>\n",
        "  </td>\n",
        "</table>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1K2OwlYrnqNF"
      },
      "source": [
        "| | |\n",
        "|-|-|\n",
        "|Author(s) | [Alejandro Ballesta](https://www.linkedin.com/in/alejandroballestae/) |"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "08Wtxah5nqNF"
      },
      "source": [
        "**_NOTE_**: This notebook has been tested in the following environment:\n",
        "\n",
        "* Python version >= 3.10"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UeihS2manqNG"
      },
      "source": [
        "## Overview\n",
        "\n",
        "This notebook explores the application of statistical methods to gain insights into the behavior of the **Vertex AI Python SDK for Gen AI Evaluation Service** for generated answers during **Question Answering** (QA) tasks. Due to the inherent variability, non-deterministic or probabilistic outcomes in these tasks, relying on a single execution may not provide a comprehensive understanding of the real performance.\n",
        "\n",
        "\n",
        "We'll delve into techniques to aggregate and analyze results from multiple runs, enabling us to:\n",
        "* **Identifying the problem:** running multiple tests over the same data to understand the non-deterministic outputs\n",
        "* **Setting up a more reliable approach:** using the same pair of questions and contexts, we will use the generated answers of two different models (ex. Gemini 1.5 vs Gemini Flash) as an input to our method and demonstrate an extensive methodology to derive better conclusions\n",
        "* **Running the experiment:** for each model, we will run the QA Gen AI Evaluation Service method 40 times to extract multiple performance metrics\n",
        "* **Quantifying Performance:** we will calculate key statistical measures like mean, median, and standard deviation to gauge central tendency and variability across executions.\n",
        "* **Identifying Performance:** In this section, using the statistical measures calculated, we will visualize the distributions of each metric overlapping the results of both models in the same chart\n",
        "* **Assessing Confidence:** applying confidence intervals or hypothesis testing we will draw statistically sound conclusions about the performance of eval tasks.\n",
        "By leveraging these statistical tools, we aim to move beyond single-run observations and gain a more robust understanding of the true behavior and capabilities of these non-deterministic tasks.\n",
        "* **Comparing Results:** we will plot a radar chart and determine which model is better for our own goals\n",
        "\n",
        "**Note:** The purpose of this analysis is not to have a completely statistical (since we are making a lot of assumptions) proof, but to gain a more holistic view of the architecture's performance\n",
        "\n",
        "[Documentation Reference]( https://cloud.google.com/vertex-ai/generative-ai/docs/models/evaluation-overview)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vp8iqnjOnqNG"
      },
      "source": [
        "## Getting Started"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jS4bwoLdnqNG"
      },
      "source": [
        "### Install Vertex AI SDK for Gen AI Evaluation Service"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M0RdlRNcnqNH",
        "outputId": "8cb31c9e-f8ed-48a4-e1a6-e9a3193bb158"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.3.1\u001b[0m\n",
            "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython3 -m pip install --upgrade pip\u001b[0m\n",
            "Note: you may need to restart the kernel to use updated packages.\n",
            "\n",
            "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.3.1\u001b[0m\n",
            "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython3 -m pip install --upgrade pip\u001b[0m\n",
            "Note: you may need to restart the kernel to use updated packages.\n"
          ]
        }
      ],
      "source": [
        "%pip install --upgrade --user --quiet google-cloud-aiplatform[evaluation]\n",
        "%pip install --quiet --upgrade nest_asyncio"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XjPPuOV_nqNH"
      },
      "source": [
        "### Restart runtime\n",
        "To use the newly installed packages in this Jupyter runtime, you must restart the runtime. You can do this by running the cell below, which restarts the current kernel.\n",
        "\n",
        "The restart might take a minute or longer. After it's restarted, continue to the next step."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "id": "_x0slWyZnqNH"
      },
      "outputs": [],
      "source": [
        "# import IPython\n",
        "\n",
        "# app = IPython.Application.instance()\n",
        "# app.kernel.do_shutdown(True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YfyWssHRnqNI"
      },
      "source": [
        "### Authenticate your notebook environment (Colab only)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "id": "QTWBP8u4nqNI"
      },
      "outputs": [],
      "source": [
        "import sys\n",
        "\n",
        "if \"google.colab\" in sys.modules:\n",
        "    from google.colab import auth\n",
        "\n",
        "    auth.authenticate_user()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6DYk9DKqnqNI"
      },
      "source": [
        "### Set Google Cloud project information and initialize Vertex AI SDK"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "id": "qg_7e5q6nqNI"
      },
      "outputs": [],
      "source": [
        "PROJECT_ID = \"[your-project-id]\"  # @param {type:\"string\"}\n",
        "LOCATION = \"[your-location]\"  # @param {type:\"string\"}\n",
        "PROJECT_ID = \"golf-demo-abr\"  # @param {type:\"string\"}\n",
        "LOCATION = \"us-central1\"  # @param {type:\"string\"}\n",
        "\n",
        "import vertexai\n",
        "\n",
        "vertexai.init(project=PROJECT_ID, location=LOCATION)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XGX0GGyknqNI"
      },
      "source": [
        "### Import libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "id": "iiDoYSKGnqNJ"
      },
      "outputs": [],
      "source": [
        "# General\n",
        "from IPython.display import display, Markdown, HTML\n",
        "import logging\n",
        "import nest_asyncio\n",
        "import warnings\n",
        "\n",
        "# Main\n",
        "from vertexai.preview.evaluation import EvalTask\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wKIeEG6snqNJ"
      },
      "source": [
        "### Library settings"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "id": "-Ckfv1gPnqNJ"
      },
      "outputs": [],
      "source": [
        "logging.getLogger(\"urllib3.connectionpool\").setLevel(logging.ERROR)\n",
        "nest_asyncio.apply()\n",
        "warnings.filterwarnings(\"ignore\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mAS6Hc3enqNJ"
      },
      "source": [
        "# **Identifying the problem**\n",
        "In this section we are going to run 2 independent evaluation tasks and gather evidence of different results under the same following conditions:\n",
        "* **Questions:** set of 5 random questions (same questions for each test)\n",
        "* **Retrieved context:** for the purpose of this notebook we assume that the context is retrieved with any particular method\n",
        "* **Generated answers:** examples of text generated by the models"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T6U4IC4LnqNJ"
      },
      "source": [
        "\n",
        "## Prepare Dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yoiJE3n6nqNJ"
      },
      "source": [
        "To evaluate the RAG generated answers, the evaluation dataset is required to contain the following fields:\n",
        "\n",
        "* Question\n",
        "* Context\n",
        "* RAG Generated Answer"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "id": "7-g0vUrinqNK"
      },
      "outputs": [],
      "source": [
        "questions = [\n",
        "    \"Which part of the brain does short-term memory seem to rely on?\",\n",
        "    \"What provided the Roman senate with exuberance?\",\n",
        "    \"What area did the Hasan-jalalians command?\",\n",
        "    \"How many pencils could be made from the carbon in an average adult human body?\"\n",
        "]\n",
        "\n",
        "retrieved_contexts = [\n",
        "    \"Short-term memory is supported by transient patterns of neuronal communication, dependent on regions of the frontal lobe (especially dorsolateral prefrontal cortex) and the parietal lobe. Long-term memory, on the other hand, is maintained by more stable and permanent changes in neural connections widely spread throughout the brain. The hippocampus is essential (for learning new information) to the consolidation of information from short-term to long-term memory, although it does not seem to store information itself. Without the hippocampus, new memories are unable to be stored into long-term memory, as learned from patient Henry Molaison after removal of both his hippocampi, and there will be a very short attention span. Furthermore, it may be involved in changing neural connections for a period of three months or more after the initial learning.\",\n",
        "    \"In 62 BC, Pompey returned victorious from Asia. The Senate, elated by its successes against Catiline, refused to ratify the arrangements that Pompey had made. Pompey, in effect, became powerless. Thus, when Julius Caesar returned from a governorship in Spain in 61 BC, he found it easy to make an arrangement with Pompey. Caesar and Pompey, along with Crassus, established a private agreement, now known as the First Triumvirate. Under the agreement, Pompey's arrangements would be ratified. Caesar would be elected consul in 59 BC, and would then serve as governor of Gaul for five years. Crassus was promised a future consulship.\",\n",
        "    \"The Seljuk Empire soon started to collapse. In the early 12th century, Armenian princes of the Zakarid noble family drove out the Seljuk Turks and established a semi-independent Armenian principality in Northern and Eastern Armenia, known as Zakarid Armenia, which lasted under the patronage of the Georgian Kingdom. The noble family of Orbelians shared control with the Zakarids in various parts of the country, especially in Syunik and Vayots Dzor, while the Armenian family of Hasan-Jalalians controlled provinces of Artsakh and Utik as the Kingdom of Artsakh.\",\n",
        "    \"The average adult human body contains enough carbon to make about 900 pencils\"\n",
        "]\n",
        "\n",
        "generated_answers = [\n",
        "    \"frontal lobe and the parietal lobe\",\n",
        "    \"The Roman Senate was filled with exuberance due to successes against Catiline.\",\n",
        "    \"The Hasan-Jalalians commanded the area of Syunik and Vayots Dzor.\",\n",
        "    \"around 901\"\n",
        "]\n",
        "\n",
        "\n",
        "eval_dataset = pd.DataFrame(\n",
        "    {\n",
        "        \"prompt\": questions,\n",
        "        \"context\": retrieved_contexts,\n",
        "        \"response\": generated_answers,\n",
        "    }\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oOa3r5-4nqNK"
      },
      "source": [
        "## Select Metric and Define EvalTask\n",
        "\n",
        "\n",
        "Choose from the following metrics for an evaluation task. For more information about the supported evaluation metrics and how to use each metric, please see [Evaluation methods and metrics](https://cloud.google.com/vertex-ai/generative-ai/docs/models/determine-eval).\n",
        "\n",
        "*   `question_answering_quality` (overall quality)\n",
        "*   `question_answering_relevance`\n",
        "*   `question_answering_helpfulness`\n",
        "*   `fulfillment`\n",
        "\n",
        "You can run evaluation for just one metric, or a combination of metrics. For example, we create an `EvalTask` named `answer_eval_task` with all the QA-related metrics to compute all the metrics in one eval run as follows:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "id": "nqLQrWHXnqNK"
      },
      "outputs": [],
      "source": [
        "answer_eval_task = EvalTask(\n",
        "    dataset=eval_dataset,\n",
        "    metrics=[\n",
        "        \"question_answering_quality\",\n",
        "        \"coherence\",\n",
        "        \"fluency\",\n",
        "        \"verbosity\"\n",
        "    ],\n",
        "    experiment=\"rag-eval-01\",\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "84oCahRLnqNK"
      },
      "source": [
        "## Run Evaluation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 431
        },
        "id": "9vsVdJgNbBD7",
        "outputId": "b4ec3cee-6a8c-4278-f839-94f10e74c152"
      },
      "outputs": [],
      "source": [
        "first_result = answer_eval_task.evaluate()\n",
        "second_result = answer_eval_task.evaluate()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2ARuTKAIgAbt",
        "outputId": "4f8d5477-3ff4-4242-bf4a-db452490feda"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'row_count': 4,\n",
              " 'question_answering_quality/mean': np.float64(3.25),\n",
              " 'question_answering_quality/std': np.float64(1.2583057392117916),\n",
              " 'coherence/mean': np.float64(2.75),\n",
              " 'coherence/std': np.float64(1.707825127659933),\n",
              " 'fluency/mean': np.float64(3.25),\n",
              " 'fluency/std': np.float64(1.5),\n",
              " 'verbosity/mean': np.float64(-1.0),\n",
              " 'verbosity/std': np.float64(0.816496580927726)}"
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "first_result.summary_metrics"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "np5rx2q4tnP-"
      },
      "source": [
        "#Let's compare the results of running the same experiment twice"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 174
        },
        "id": "RQtmfqe1lUYj",
        "outputId": "7dd19d73-89a8-4ce8-99e1-f27945a9168b"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>first_question_answering_quality/score</th>\n",
              "      <th>second_question_answering_quality/score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   first_question_answering_quality/score  \\\n",
              "0                                     3.0   \n",
              "1                                     3.0   \n",
              "2                                     5.0   \n",
              "3                                     2.0   \n",
              "\n",
              "   second_question_answering_quality/score  \n",
              "0                                      3.0  \n",
              "1                                      3.0  \n",
              "2                                      5.0  \n",
              "3                                      3.0  "
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "first_df = pd.DataFrame(first_result.metrics_table)\n",
        "second_df = pd.DataFrame(second_result.metrics_table)\n",
        "\n",
        "first_df = first_df.add_prefix('first_')\n",
        "second_df = second_df.add_prefix('second_')\n",
        "\n",
        "result = pd.concat([first_df, second_df], axis=1)\n",
        "result[[\"first_question_answering_quality/score\",\"second_question_answering_quality/score\"]]\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "duu6bz37tuIM"
      },
      "source": [
        "You are probably seeing different results (row 3) for at least one row; if not, try again\n",
        ":)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qFTYiRE0tlk3"
      },
      "source": [
        "# **Setting up a more reliable approach**\n",
        "\n",
        "if you are comparing two different architectures (Ex, Gemini 1.5 generations vs Gemini Flash generations), it's recommended to use sample distributions to understand the perfomance of each approach.\n",
        "\n",
        "Let's see one example\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MrUdJsG-83-6"
      },
      "source": [
        "## Modal A vs Model B set up"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "id": "IykuOnoNmFN4"
      },
      "outputs": [],
      "source": [
        "generated_answers_modal_a = [\n",
        "    \"frontal lobe and the parietal lobe\",\n",
        "    \"The Roman Senate was filled with exuberance due to successes against Catiline.\",\n",
        "    \"The Hasan-Jalalians commanded the area of Syunik and Vayots Dzor.\",\n",
        "    \"around 900 pencils could be made from an adult human body\"\n",
        "]\n",
        "\n",
        "generated_answers_model_b = [\n",
        "    \"frontal lobe\",\n",
        "    \"The Roman Senate was filled with exuberance due to successes against Catiline.\",\n",
        "    \"The Hasan-Jalalians commanded Vayots Dzor\",\n",
        "    \"I would guess 901\"\n",
        "]\n",
        "\n",
        "eval_dataset_model_a = pd.DataFrame(\n",
        "    {\n",
        "        \"prompt\": questions,\n",
        "        \"context\": retrieved_contexts,\n",
        "        \"response\": generated_answers_modal_a,\n",
        "    }\n",
        ")\n",
        "eval_dataset_model_b = pd.DataFrame(\n",
        "    {\n",
        "        \"prompt\": questions,\n",
        "        \"context\": retrieved_contexts,\n",
        "        \"response\": generated_answers_model_b,\n",
        "    }\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2WyMpC279EMj"
      },
      "source": [
        "#**Running the experiment**\n",
        "\n",
        "Once the answers have been generated, let's run 40 identical experiments for each approach"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "id": "G9a6DyWPHNtn"
      },
      "outputs": [],
      "source": [
        "#Let's first define the metrics we are going to use\n",
        "\n",
        "metrics = [\"question_answering_quality\",\n",
        "        \"coherence\",\n",
        "        \"fluency\",\n",
        "        \"verbosity\"]\n",
        "n=40"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ZDL1gvitvrTi",
        "outputId": "2439b75f-d00c-4136-af78-fcb9c8fda1c4"
      },
      "outputs": [],
      "source": [
        "#Model A - 40 iteration evaluation\n",
        "\n",
        "model_a_results = []\n",
        "for i in range(n):\n",
        "  print(f\"running experiment {i}-------------------\")\n",
        "  answer_eval_task = EvalTask(\n",
        "      dataset=eval_dataset_model_a,\n",
        "      metrics=metrics,\n",
        "      experiment=f\"rag-model-a-1-5-eval-{i}\",\n",
        "  )\n",
        "  model_a_results.append(answer_eval_task.evaluate().summary_metrics)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "kOJzqAb86spW",
        "outputId": "2a1cd02c-41e3-46b9-fbad-671b3c325181"
      },
      "outputs": [],
      "source": [
        "#Model B- 40 iteration evaluation\n",
        "\n",
        "model_b_results = []\n",
        "for i in range(n):\n",
        "  print(f\"running experiment {i}-------------------\")\n",
        "  answer_eval_task = EvalTask(\n",
        "      dataset=eval_dataset_model_b,\n",
        "      metrics=metrics,\n",
        "      experiment=f\"rag-model-b-eval-{i}\",\n",
        "  )\n",
        "  model_b_results.append(answer_eval_task.evaluate().summary_metrics)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "akQ-gfdSPv-s"
      },
      "source": [
        "#**Quantifying Performance**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NUBUhRPVD5Wm"
      },
      "source": [
        "##Get the mean of each summary metric for the 40 experiments"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        },
        "id": "_Zgqeo-j-JSX",
        "outputId": "a456150c-e014-4c0c-afb8-7638db50d4bf"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "question_answering_quality/mean    3.625000\n",
              "coherence/mean                     3.293750\n",
              "fluency/mean                       3.572938\n",
              "verbosity/mean                    -0.793750\n",
              "dtype: float64"
            ]
          },
          "execution_count": 48,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mean_metrics = [\n",
        "    \"question_answering_quality/mean\",\n",
        "    \"coherence/mean\",\n",
        "    \"fluency/mean\",\n",
        "    \"verbosity/mean\",\n",
        "]\n",
        "\n",
        "average_metrics_model_a = model_a_results_df[mean_metrics].mean()\n",
        "\n",
        "\n",
        "average_metrics_model_a"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        },
        "id": "OevmiEUv7eOU",
        "outputId": "1c9ca470-7b16-46b7-ac6d-6dfd0ae59993"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "question_answering_quality/mean    3.15750\n",
              "coherence/mean                     2.83125\n",
              "fluency/mean                       3.46250\n",
              "verbosity/mean                    -1.24375\n",
              "dtype: float64"
            ]
          },
          "execution_count": 49,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "\n",
        "average_metrics_model_b = model_b_results_df[mean_metrics].mean()\n",
        "\n",
        "\n",
        "average_metrics_model_b"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MsZd5B9rDLsW"
      },
      "source": [
        "#**Identifying Performance and Assessing Confidence**\n",
        "\n",
        "In this section we procced to create distribution charts for the mean of each metric evaluated per model/approach. We overlap the results of Model A on top of Model B outcomes and evidence the gaps between them.\n",
        "\n",
        "For each metric, we are also calculating the difference of the mean between the two series and also running a t-test so we can have certainty about our conclusions. If the test is statistically significant it means the difference might be consistent enough to determine a clear winner.\n",
        "\n",
        "Why the **Independent Samples t-test**?\n",
        "\n",
        "* **Continuous Data**: The quality scores (0-5) are continuous numerical data, suitable for a t-test.\n",
        "Two Independent Groups: You have two separate sets of results (series), and you want to compare their means.\n",
        "* **Assumption of Normality**: The t-test assumes that the data within each group is approximately normally distributed. While you have a limited sample size (40), if the distribution of scores isn't heavily skewed or has extreme outliers, the t-test is reasonably robust.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Xng_c88i-ylB",
        "outputId": "88bc1481-43d9-4041-a24d-14c3fec913f9"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1500x1500 with 4 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from scipy import stats\n",
        "\n",
        "# Sample data\n",
        "dataframes = [model_a_results_df, model_b_results_df]\n",
        "dataframe_names = [\"Model A\", \"Model B\"]\n",
        "\n",
        "\n",
        "# Create KDE plots\n",
        "fig, axs = plt.subplots(2, 2, figsize=(15, 15))\n",
        "# Define a color palette\n",
        "colors = ['#1f77b4', '#ff7f0e']  # You can add more colors if you have more dataframes\n",
        "\n",
        "for i, metric in enumerate(mean_metrics):\n",
        "    row, col = i // 2, i % 2\n",
        "\n",
        "    means = []\n",
        "    for df, name, color in zip(dataframes, dataframe_names, colors):\n",
        "        # Plot KDE\n",
        "        sns.kdeplot(data=df[metric], ax=axs[row, col], fill=True, alpha=0.5, label=name, color=color)\n",
        "\n",
        "        # Calculate mean and plot dotted line\n",
        "        mean_value = df[metric].mean()\n",
        "        means.append(mean_value)\n",
        "        axs[row, col].axvline(mean_value, color=color, linestyle=':', linewidth=2)\n",
        "\n",
        "    # Calculate mean difference and perform t-test\n",
        "    mean_diff = means[1] - means[0]\n",
        "    t_stat, p_value = stats.ttest_ind(dataframes[0][metric], dataframes[1][metric])\n",
        "\n",
        "    title = metric.split('/')[0].replace(\"_\", \" \").title()\n",
        "    diff_title = f\"{title}\\nMean Difference: {mean_diff:.4f}\"\n",
        "    axs[row, col].set_title(diff_title, fontsize=12)\n",
        "    axs[row, col].set_xlabel('Value')\n",
        "    axs[row, col].set_ylabel('Density')\n",
        "\n",
        "\n",
        "    # Add value labels at the bottom\n",
        "    ylim = axs[row, col].get_ylim()\n",
        "    for df, name, color, mean in zip(dataframes, dataframe_names, colors, means):\n",
        "        axs[row, col].text(mean, ylim[0], f'{name}\\n{mean:.2f}', color=color,\n",
        "                           ha='center', va='bottom', fontweight='bold', fontsize=12)\n",
        "\n",
        "    # Add text annotations\n",
        "    stats_text = \"\"\n",
        "    for df, name in zip(dataframes, dataframe_names):\n",
        "        median = df[metric].median()\n",
        "        mean = df[metric].mean()\n",
        "        std = df[metric].std()\n",
        "        stats_text += f'{name}:\\n  Median: {median:.2f}\\n  Mean: {mean:.2f}\\n  Std Dev: {std:.2f}\\n\\n'\n",
        "\n",
        "    # Add statistical significance information\n",
        "    if p_value < 0.02:\n",
        "        sig_text = f\"Statistically Significant (p-value: {p_value:.4f})\"\n",
        "    else:\n",
        "        sig_text = f\"Not Statistically Significant (p-value: {p_value:.4f})\"\n",
        "\n",
        "    stats_text += f\"\\n{sig_text}\"\n",
        "\n",
        "    axs[row, col].text(0.05, 0.95, stats_text,\n",
        "                       transform=axs[row, col].transAxes, verticalalignment='top',\n",
        "                       bbox=dict(boxstyle='round', facecolor='white', alpha=0.7),\n",
        "                       fontsize=8)\n",
        "\n",
        "# Remove extra subplot\n",
        "if len(metrics) % 2 != 0:\n",
        "    axs[-1, -1].axis('off')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "These charts illustrate the performance of the two models across various metrics.  Model A generally demonstrates better quality, verbosity, and coherence than Model B. However, there is no statistically significant difference between the models in terms of fluency."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wVl5WRyGhk39"
      },
      "source": [
        "**Note:** We can evidence that sometimes the normal distribution is not as clear as other times, that is why is important to look at the charts before making any definitive conclusion"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TASwgjGkQVoS"
      },
      "source": [
        "# **Comparing Results**\n",
        "\n",
        "Now we can plot a more general overlapping view using a radar chart to understand in which areas the approaches differ"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 822
        },
        "id": "4HwJQUYW_VSC",
        "outputId": "2ed4d7e2-344f-44cd-cfcb-dc25d0984b6c"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Function to create radar chart\n",
        "def radar_chart(data, title):\n",
        "    angles = np.linspace(0, 2*np.pi, len(mean_metrics), endpoint=False)\n",
        "    values = data[mean_metrics].mean().values\n",
        "    values = np.concatenate((values, [values[0]]))  # repeat the first value to close the polygon\n",
        "    angles = np.concatenate((angles, [angles[0]]))  # repeat the first angle to close the polygon\n",
        "\n",
        "    fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(projection='polar'))\n",
        "    ax.plot(angles, values)\n",
        "    ax.fill(angles, values, alpha=0.25)\n",
        "    ax.set_xticks(angles[:-1])\n",
        "    ax.set_xticklabels([m.split('/')[0] for m in mean_metrics], wrap=True)\n",
        "    ax.set_title(title)\n",
        "    plt.tight_layout()\n",
        "    plt.show()\n",
        "\n",
        "# # Create radar charts for each dataframe\n",
        "# for df, name in zip(dataframes, dataframe_names):\n",
        "#     radar_chart(df, f'Radar Chart for {name}')\n",
        "\n",
        "# Create overlapping radar chart\n",
        "fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(projection='polar'))\n",
        "\n",
        "angles = np.linspace(0, 2*np.pi, len(mean_metrics), endpoint=False)\n",
        "angles = np.concatenate((angles, [angles[0]]))  # repeat the first angle to close the polygon\n",
        "\n",
        "for df, name in zip(dataframes, dataframe_names):\n",
        "    values = df[mean_metrics].mean().values\n",
        "    values = np.concatenate((values, [values[0]]))  # repeat the first value to close the polygon\n",
        "    ax.plot(angles, values, linewidth=2, label=name)\n",
        "    ax.fill(angles, values, alpha=0.25)\n",
        "\n",
        "ax.set_xticks(angles[:-1])\n",
        "ax.set_xticklabels([m.split('/')[0] for m in mean_metrics], wrap=True)\n",
        "ax.set_title('Overlapping Radar Chart for All Experiments')\n",
        "ax.legend(loc='upper right', bbox_to_anchor=(1.3, 1.0))\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T0iVRmfQe7JX"
      },
      "source": [
        "## Conclusions\n",
        "\n",
        "In this notebook, we demonstrated the power of statistical analysis in understanding the performance of non-deterministic eval tasks. By leveraging techniques like the independent samples t-test, we moved beyond single-run observations to gain a more comprehensive understanding of the variability and underlying trends in our results.\n",
        "\n",
        "The insights gleaned from this analysis can inform future iterations of the eval task, guide decision-making based on statistically sound evidence, and pave the way for more robust and reliable evaluations in the face of inherent uncertainty.\n",
        "\n",
        "Note: The purpose of this analysis is not to have a rigorous statistical proof (since we are making a lot of assumptions), but to gain a more holistic view of the architecture's performance"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.6"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
